Mapping/Injective/Surjective/Bijective/Introduction/Section


Let and denote sets, and let

be a mapping. Then is called injective if for two different elements , also and

are different.


Let and denote sets, and let

be a mapping. Then is called surjective if, for every , there exists at least one element , such that


Let and denote sets, and suppose that

is a mapping. Then is called bijective if is injective as well as

surjective.

These concepts are fundamental!

The question, whether a mapping has the properties of being injective or surjective, can be understood looking at the equation

(in the two variables and ). The surjectivity means that for every there exists at least one solution

for this equation; the injectivity means that for every there exists at most one solution for this equation. The bijectivity means that for every there exists exactly one solution for this equation. Hence, surjectivity means the existence of solutions, and injectivity means the uniqueness of solutions. Both questions are everywhere in mathematics, and they can also be interpreted as surjectivity or injectivity of suitable mappings.

In order to show that a certain mapping is injective, we often use the following strategy: One shows for any two given elements and using the condition that holds. This method is often easier than showing that implies .


The mapping

is neither injective nor surjective. It is not injective because the different numbers and are both sent to . It is not surjective because only nonnegative elements are in the image (a negative number does not have a real square root). The mapping

is injective, but not surjective. The injectivity can be seen as follows: If , then one number is larger, say

But then also , and in particular . The mapping

is not injective, but surjective, since every nonnegative real number has a square root. The mapping

is injective and surjective.


Let denote a bijective mapping. Then the mapping

that sends every element to the uniquely determined element with ,

is called the inverse mapping of .

The inverse mapping is usually denoted by .